Development of a large, concept-oriented database for information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Construction of a dynamic Thesaurus and its use for associated information retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Electronic markets and electronic hierarchies
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Generating, integrating, and activating thesauri for concept-based document retrieval
IEEE Expert: Intelligent Systems and Their Applications
A Unified Approach to Automatic Indexing and Information Retrieval
IEEE Expert: Intelligent Systems and Their Applications
Buyer's customized directory management over seller's e-catalogs: logic programming approach
Decision Support Systems - Special issue: Agents and e-commerce business models
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The success of local economies has become increasingly dependent on participation in the global economy. The development and convergence of computer and communication technologies have made it technically and economically feasible for a small business to be active at a global level. The issue is developing mechanisms to ensure this can take place. In this paper we introduce an Electronic Industrial Directory (EID) prototype-a database and the means to retrieve information from it-to enable businesses to find potential suppliers or purchasers with whom they may do business. We present a conceptual model of the EID and discuss the design of each subsystem. Specifically, to differentiate our model from the conventional word-based retrieval methods employed in most of the Yellow Pages-like systems, we propose a concept-based matching scheme for industry class identification as well as for product/service comparison during the retrieval process. We believe that retrieval effectiveness will be increased with the introduced model. In addition, visual navigation is supported in the query-reformulation process with the aim of providing maximum ease of searching for novice users.